AI models

AI models are using material from retracted scientific papers

“If facing most people, then using retraction as a type of quality indicator may be very vital,” says Yuanxi Fu, an information science researcher on the University of Illinois Urbana-Champaign. There’s “type...

It’s Not About What AI Can Do for Us, But What We Can Do for AI

Most view artificial intelligence (AI) through a one-way lens. The technology only exists to serve humans and achieve latest levels of efficiency, accuracy, and productivity. But what if we’re missing half of the equation?...

Behind the Magic: How Tensors Drive Transformers

Transformers have modified the way in which artificial intelligence works, especially in understanding language and learning from data. On the core of those models are tensors (a generalized sort of mathematical matrices that help...

Mega Models Aren’t the Crux of the Compute Crisis

Each time a recent AI model drops—GPT updates, DeepSeek, Gemini—people gawk on the sheer size, the complexity, and increasingly, the compute hunger of those mega-models. The idea is that these models are defining the...

Smaller, Smarter, and Faster: How Mistral AI is Bringing Edge Devices to the Forefront

Edge computing is changing how we process and manage data. As an alternative of sending all information to cloud servers, data is now handled directly on devices. It is a transformative advancement, especially for...

The Damage From Wonderful-Tuning an AI Model Can Easily Be Recovered, Research Finds

Latest research from the US indicates that fine-tuning an AI foundation model on your personal data doesn't need to cut back or impair the functionality of the unique model – and that a comparatively...

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